Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sherburne County, MN

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sherburne County, MN
Series ID MHICILBMN27141A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:12 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 33924
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40381
1994-01-01 .
1995-01-01 45543
1996-01-01 .
1997-01-01 48264
1998-01-01 52292
1999-01-01 53173
2000-01-01 55117
2001-01-01 55472
2002-01-01 57604
2003-01-01 58514
2004-01-01 60677
2005-01-01 59373
2006-01-01 65078
2007-01-01 65017
2008-01-01 66333
2009-01-01 67569
2010-01-01 66579
2011-01-01 63405
2012-01-01 66566
2013-01-01 69867
2014-01-01 71008
2015-01-01 73959
2016-01-01 79343
2017-01-01 82404
2018-01-01 77380
2019-01-01 90687
2020-01-01 81511
2021-01-01 85959
2022-01-01 91677

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